International Business Machines Corporation
Identifying false positives in test case failures using combinatorics

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Abstract:

A method for detecting and localizing a fault in a system under test (SUT) includes generating an initial set of test cases using combinatorics test design. The method further includes determining, based at least in part on a first set of execution results, a set of failing test cases. The method further includes determining, based on a machine learning model, a subset of false positives from the failing test cases. The method further includes generating a set of new test cases from a selected failing test case that is not in the subset of false positives. The method further includes executing the set of new test cases to obtain a second set of execution results, and localizing the fault based at least in part on the second set of execution results.

Status:
Grant
Type:

Utility

Filling date:

20 Feb 2020

Issue date:

10 Aug 2021